Staff Software Engineer (GoLang, Kubernetes Operators, CRD)

Armis; Ahmedabad District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Armis seeks a Senior Kubernetes Platform Engineer to design and deliver core platform subsystems—secrets, certificates, workload identity, storage, and cluster networking—through production operations. You will own end-to-end design and implementation, act hands-on with operators, controllers, and IaC, and drive platform reliability, SLOs, upgrade paths, and incident response in a regulated environment.

You'll collaborate with seniors, explore AI-enhanced tooling, and work across AWS/GCP/Azure

Qualifications

• Built and operated Kubernetes platform infrastructure in production at scale.
• 8+ years building production software and distributed systems.
• Strong Go programming skills with production Kubernetes controller or operator work behind you.
• Hands-on depth with at least one major hyperscaler (AWS, Azure, GCP)—its compute, networking, and IAM primitives.
• A track record of owning complex components end to end, from ambiguous problem to production.
• Strong working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code.
• Experience leveraging AI in engineering and platform work for automation and observability.

Responsibilities

• Own design and delivery of core subsystems of our Kubernetes platform (e.g., secrets, certificates, workload identity, storage, cluster networking) from design through production.
• Turn loosely defined platform problems into design, plan, and shipped software with limited scaffolding.
• Contribute to the architecture of distributed workloads and ensure runtime/isolation model quality.
• Spend most of your time hands-on in code—operators and controllers, automation, and platform services—and in reviews to ensure quality.
• Own operability: SLOs, failure modes, upgrade/migration paths, and on-call for your systems.
• Collaborate with senior staff to align work with wider platform architecture and mentor engineers earlier in their careers.
• Support a platform serving regulated markets with constraints like FedRAMP in design decisions.

Skills

Kubernetes platform design

Go production development

Distributed systems

CI/CD & GitOps

Platform instrumentation

Cloud providers (AWS/Azure/GCP)

AI integration in engineering

Tools

Kubernetes controller/Operator

Terraform

Crossplane

CI/CD tooling

Container networking (CNI)

Service mesh

Job description

To be successful in this role you have:

• You will own the design and delivery of significant components and core subsystems of our Kubernetes platform-for example secrets and certificate management, workload identity, storage, or cluster networking-from design through production operation.
• You will take a loosely defined platform problem and turn it into a design, a plan, and shipped software, with limited scaffolding from others.
• You will contribute to the architecture of distributed workloads running on the platform, working with the teams who depend on it to get the runtime and isolation model right.
• You will spend most of your time hands-on in code-operators and controllers, infrastructure automation, and platform services-and in the reviews that keep their quality high.
• You will own the operability of what you build: SLOs, failure modes, upgrade and migration paths, and on-call for your own systems.
• You will partner with senior staff and principal engineers to keep your work aligned with the wider platform architecture, and mentor engineers earlier in their careers.
• You will help us run a platform that serves regulated markets, where compliance constraints including FedRAMP shape design choices.

To be successful in this role you have:

• Built and operated Kubernetes platform infrastructure in production before, at meaningful scale-not just consumed it. You can point to specific subsystems you designed, shipped, and then supported through real incidents and upgrade cycles.
• 8+ years building production software, including solid experience operating distributed systems.
• Strong programming skills in Go, with production Kubernetes controller or operator work behind you.
• Hands‑on depth with at least one major hyperscaler (AWS, Azure, GCP)-its compute, networking, and IAM primitives, and where they leak into cluster design.
• A track record of owning complex components end to end, from ambiguous problem to production, whether or not you carried a lead title.
• Strong working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code.
• Experience leveraging or critically thinking about how to integrate AI into engineering and platform work-AI-powered tooling, automated operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI s impact on how infrastructure is built and run.

It also helps if you have:

• Experience with managed Kubernetes (EKS/AKS/GKE) alongside self-managed clusters.
• Experience with container networking (CNI) and/or service mesh.
• Experience with mTLS, workload identity, and secrets management at fleet scale.
• Experience with observability-metrics, tracing, and SLOs.
• Experience with Terraform, Crossplane, or similar declarative infrastructure tooling.
• Experience designing or tuning distributed data or compute workloads on Kubernetes.